Senior Data Engineer
Company: The Motley Fool
Location: Washington, DC (Remote)
Type: Contract
Remote: Yes
Posted: 2026-07-11
About this role
Who Are We?
The Motley Fool is a purpose-driven financial services company on a mission to make the world smarter, happier, and richer. For 30 years, we’ve been helping people make better investment decisions through transparency, education, and a healthy dose of Foolish fun. We’re a fast-moving, collaborative team that values high-quality work, curiosity, and initiative. We care deeply about what we do, and we’re driven by the impact our work has on real people’s financial futures.
What Does This Team Do?
We are seeking a Senior Data Engineer to design, build, and take full ownership of the data infrastructure powering our investment operations. You will own the complete data lifecycle, spanning ingestion, transformation, warehousing, analytics, and machine learning, serving as the connective tissue between raw data and the decisions that depend on it. If something breaks, you fix it. If a stakeholder needs data, you find it or build it. The Investment Committee and business partners rely on you to ensure they always have trustworthy, timely data in hand.
You will architect ETL/ELT pipelines orchestrated by Apache Airflow (AWS MWAA), build and tune a Snowflake data warehouse fed by S3 data lakes, and develop the analytical models and dashboards that turn raw data into actionable intelligence. You will also play a key role in introducing machine learning capabilities to enhance forecasting, anomaly detection, and portfolio analytics.
What Will You Do in This Role?
You will help lead the transformation of our data infrastructure, moving the team from manual processes and spreadsheet-based workflows into scalable, governed, automated data systems. This role sits at the center of investment operations, analytics, reporting, and emerging AI initiatives.
What Strategic Initiatives You Will Drive?
- The “Golden Source” Transformation:
Migrating data reliance from spreadsheets and manual processes into a governed Snowf...